Who we are
Klarna’s
mission is to free people from all the meaningless time spent managing
money and purchases, so they can do more of what they love. Every day at
Klarna we help consumers, merchants, and partners to explore just how
smoooth the modern purchase experience can be. Our position at the
crossroads of payments, consumer financing, ecommerce and banking means
we are uniquely positioned to do this. There is no label for what we
do.
Klarna was born in Stockholm in 2005 and
today has 2000 employees working across Europe and the US. We currently
serve 60 million consumers, work together with 90,000 merchants and
process more than a million payment transactions a day. We are growing
at 40% year on year and our investors include Visa, Atomico, Sequoia
Capital, Permira and Bestseller group/ Anders Holsch Povlsen. We have
strong partnerships with some of the world’s leading brands, such as
ASOS, IKEA, Adidas, Zara, Lufthansa and Spotify.
Klarna strives to become the world’s favourite way to buy.
You can contribute to reaching this goal!
We
are looking to hire great people, who are passionate about using their
talents to generate success. Data Engineering is no exception! We are
currently looking to grow our Data Domain to satisfy the company’s ever
increasing need to understand, predict and make the right decisions on
large, fast, structured, unstructured and growing amounts of data!
What you will do
As
a data engineer you will work in a team that is end to end responsible
for data services, where a data service spans from management
dashboards, data warehousing, real time decisioning pipelines to
frameworks for data quality measures. As a data engineer you will
typically take the role of building and running data pipelines, data
warehouse, data frameworks or different data presentation techniques.
Your
stakeholders will be Data Scientists, Business Analysts, other
Engineers building Insights and all Klarna employees that need data in
their daily work. We have amazing teams that take care of and become
experts at different parts of the domain where sharing and collaboration
are key.
Some of the technologies and
languages we use are Kafka, Hadoop, Spark, AWS Redshift, AWS Glue,
Apache Airflow, MS SQL, Qlik Sense, Postgres, Java, Scala, different
NoSQL DB:s- and we are always looking for the most efficient tools for
the job
Send over a CV and cover letter in English.
We
can offer you an international working environment filled with smart
and ambitious colleagues. We know that diverse teams are strong teams,
so we welcome those from different backgrounds and experiences. As part
of one of Europe’s fastest growing companies, you'll help play an
important role in taking Klarna to the next level.